Xiaoti Lin

914 citations
28 papers · 728 indexed · h-index 15

Impact in

Papers in

    • RNA Research and Splicing 2
    • Receptor Mechanisms and Signaling 2
    • Circular RNAs in diseases 2
    • MicroRNA in disease regulation 4
    • Cancer-related molecular mechanisms research 3

Xiaoti Lin

27 papers receiving 714 citations

Peers

Xiaoti Lin
Comparison fields: 5 of 100
  • Endocrine and Autonomic Systems 106
  • Cancer Research 212
  • Reproductive Medicine 63
  • Experimental and Cognitive Psychology 90
  • Physiology 25
Replace Toshiaki Nakai with:
Toshiaki Nakai Japan
Ville Pulkkinen Finland
Masaya Takeda Japan
Christine K. Ratajczak United States
Toshikatsu Nobunaga Japan
Marcella Ma United Kingdom
Hongjie Chen China
G. B. Vannelli Italy
Mansour Djedaini France
Lan Cheng China
Xiaoti Lin relative to Toshiaki Nakai Japan Toshiaki Nakai's profile →
Citations per field
00.5×6.6×
Toshiaki Nakai · 1×
Citations per year

Countries citing papers authored by Xiaoti Lin

Since Specialization
Citations

This map shows the geographic impact of Xiaoti Lin's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Xiaoti Lin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaoti Lin more than expected).

Fields of papers citing papers by Xiaoti Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Xiaoti Lin. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Xiaoti Lin. The network helps show where Xiaoti Lin may publish in the future.

Co-authors

The 25 scholars most cited alongside Xiaoti Lin, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Xiaoti Lin Line = papers co-authored together Xiaoti Lin links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015118
2 2013101
3 201568
4 201756
5 199843
6 201541
7 201535
8 202131
9 199930
10 202027
11 200024
12 199920
13 200020
14 201617
15 199916
16 199814
17 201411
18 201710
19 20169
20 20208

About Xiaoti Lin

Xiaoti Lin is a scholar working on Molecular Biology, Cancer Research, Surgery, Oncology and Genetics, having authored 28 papers that have together received 728 indexed citations. Recurring topics across this work include Hypothalamic control of reproductive hormones (4 papers), Estrogen and related hormone effects (4 papers), MicroRNA in disease regulation (4 papers), Cancer-related molecular mechanisms research (3 papers), Cancer Cells and Metastasis (2 papers), RNA Research and Splicing (2 papers), Receptor Mechanisms and Signaling (2 papers) and Circular RNAs in diseases (2 papers). The work is most often cited by research in Endocrine and Autonomic Systems (106 citations), Cancer Research (212 citations), Reproductive Medicine (63 citations), Experimental and Cognitive Psychology (90 citations) and Physiology (25 citations). Xiaoti Lin has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Fengqin Wei, Weiyu Chen, Xiaoming Xie, Mingang Ying, Weidong Wei, Hailin Tang, Peng Ji, Mien‐Chie Hung, Pierre Peyon and Richard Peter. Their work appears in journals such as Endocrinology, Peptides, The Breast Journal, Sleep Medicine and Molecular Therapy.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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